Effects of Different Types of Cognitive Loading on Gait With Growing Age
- Conditions
- Gait AnalysisCognitive Load, Performance
- Registration Number
- NCT06656052
- Lead Sponsor
- Riphah International University
- Brief Summary
The goal of this study is to determine how different types of cognitive loading affect the gait of an individual and its association with growing age. The main aim is to find out if:
1. There is a significant difference in the effect of three different methods of cognitive loading on gait parameters across age groups.
2. There is an association of cognitive loading with different age groups.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 150
- Both male and female genders.
- Age between 21-70 years.
- Healthy individuals with normal systemic history.
- Individuals with normal cognitive level (score between 0-7 on 6CIT test)
- Individuals having any comorbidities.
- Individuals having diagnosed gait disorders/deviations.
- Non-cooperative participants
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method Step time Immediately after Cognitive loading tests A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time of the participant. An increase in step time is the usual effect of cognitive loading on this gait parameter.
Walking speed Immediately after Cognitive loading tests A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the walking speed of the participant. A decrease in walking speed is the usual effect of cognitive loading on this gait parameter.
Gait Symmetry Immediately after Cognitive loading tests A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the gait symmetry of the participant. A decrease in gait symmetry is the usual effect of cognitive loading on this gait parameter.
Step length Immediately after Cognitive loading tests A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length of the participant. An increase in step length is the usual effect of cognitive loading on this gait parameter.
Step length variability Immediately after Cognitive loading tests A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length variability of the participant. An increase in step length variability is the usual effect of cognitive loading on this gait parameter.
Step time variability Immediately after Cognitive loading tests Smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time variability of the participant. An increase in step time variability is the usual effect of cognitive loading on this gait parameter.
Step length asymmetry Immediately after Cognitive loading tests A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length asymmetry of the participant. An increase in step length asymmetry is the usual effect of cognitive loading on this gait parameter.
Step time asymmetry Immediately after Cognitive loading tests A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time asymmetry of the participant. An increase in step time asymmetry is the usual effect of cognitive loading on this gait parameter.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Riphah International University
🇵🇰Islamabad, Pakistan